AI Specialist
2 days ago
- Over 2 years of practical experience in applying AI to real-world and comprehensive technology solutions
- Expertise in machine learning and deep learning, including technologies such as TensorFlow, Python, and NLP
- Proficient in programming languages commonly used in AI, such as Python, R, and Java
- Hands-on experience with machine learning frameworks such as TensorFlow and PyTorch
- Strong knowledge of fundamental algorithms, object-oriented and functional design principles, and best-practice patterns
- Skilled in essential techniques for ML projects, including data preprocessing, feature engineering, and model evaluation
- Experienced with version control systems (e.g., Git) for effective team collaboration and code management
Practical Applications and Areas of Interest
- Internal tools automation (e.g., co-pilots for operations, workflow optimization)
- Smart form filling, rule generation, and automated data extraction
- Development of generative AI tools using large language models (LLMs)
- Construction of Retrieval-Augmented Generation (RAG) systems
- Design of agents using LangChain and implementation of Graph RAG architectures
- Building embedding-based search infrastructure using vector databases such as Chroma and Weaviate
- Prototyping and PoC development leveraging open-source LLMs or APIs (e.g., OpenAI, Anthropic, Cohere, Gemini, Copilot)
- Integration of simple UI using tools like Git and lightweight front-end frameworks
- Hands-on experience with chatbots, intelligent document processing, and agent-assist tools
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